Data-based Optimisation of Manufacturing Processes
Summary of the entity:
List institute, a digital systems’ expert. Based in Saclay (Paris region, France), List Institute is one of CEA Tech three technological research institutes constituting CEA technological Division. Dedicated to smart digital systems, our mission is to achieve technological development of excellence for our industrial partners and create value, with more than 200 industrial collaborations per year. List institute counts more than 750 partners and every year more than a 200 partnership activities are being conducted with French and foreign industrial companies on applied research projects in four main topics: Advanced Manufacturing, Embedded systems, Data intelligence and Health ionizing radiations
Summary of the challenge:
The goal is to increase production orders of the manufacturing system, by optimizing the cost of the Bill Of Materials (BOM).
Manufacturers receive product blueprints from product designers and production orders that, to be cost-effective, tend to be high-volume.
Manufacturers need to optimize production costs, while keeping the performance of the final product, in terms of quality, computation capabilities, and power consumption.
The goal of the challenge is to increase production orders of the manufacturing system, which in turn increases revenue from sales. In practical terms, they will need to optimize the cost of the BOM (Bill of Materials). For this reason, manufacturers need to interact with product designers to build better products, which will increase sales and therefore increase production volumes.
Manufacturers can work with device designers on improving products by providing them with product usage data, obtained from product testing pilots, or by retrieving usage data from the device end-users (see below). However, as they are the intermediary in the value chain, between the product designer and the manufacturer, they must guarantee that the stakeholders perform the exchange of data with trust, security, and transparency.
Data to be used:
– REACH Data Providers
IDEA75: Active Power in electrical motors
– External Data Provider:
Provided by applicants
– Open source datasets:
Kaggle: Versatile Production System
- To decrease the costs of hardware manufacturing processes.
- To decrease the cost of bill-of-materials.
- To establish a stronger value chain with product designers, in order to deliver higher value to end-users.
How do we apply?
Read the Guidelines for Applicants
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